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Found 6 papers, 1 papers with code
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Large Language Models have recently been applied to text annotation tasks from social sciences, equalling or surpassing the performance of human workers at a fraction of the cost.
Iteration Head: A Mechanistic Study of Chain-of-Thought
Chain-of-Thought (CoT) reasoning is known to improve Large Language Models both empirically and in terms of theoretical approximation power.
Mode Estimation with Partial Feedback
The combination of lightly supervised pre-training and online fine-tuning has played a key role in recent AI developments.
Touring sampling with pushforward maps
The number of sampling methods could be daunting for a practitioner looking to cast powerful machine learning methods to their specific problem.
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
Despite their successful application to a variety of tasks, neural networks remain limited, like other machine learning methods, by their sensitivity to shifts in the data: their performance can be severely impacted by differences in distribution between the data on which they were trained and that on which they are deployed.
Convolution of a symmetric log-concave distribution and a symmetric bimodal distribution can have any number of modes
In this note, we show that the convolution of a discrete symmetric log-concave distribution and a discrete symmetric bimodal distribution can have any strictly positive number of modes.
Statistics Theory Probability Statistics Theory 62E10 (Primary) 60E05 (Secondary)
